class_docstr: Tests correctness of the inline constructed bijector.
code: def testBijector(self):
      bijector = inline.Inline(
          forward_fn=tf.exp,
          inverse_fn=tf.math.log,
          inverse_log_det_jacobian_fn=lambda y: -tf.math.log(y),
          forward_min_event_ndims=0,
          name="exp",
      )
  
      self.assertStartsWith(bijector.name, "exp")
      x = [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]
      y = np.exp(x)
      self.assertAllClose(y, self.evaluate(bijector.forward(x)))
      self.assertAllClose(x, self.evaluate(bijector.inverse(y)))
      self.assertAllClose(
          -np.sum(np.log(y), axis=-1),
          self.evaluate(
              bijector.inverse_log_det_jacobian(y, event_ndims=1)
          ),
      )
      self.assertAllClose(
          self.evaluate(
              -bijector.inverse_log_det_jacobian(y, event_ndims=1)
          ),
          self.evaluate(
              bijector.forward_log_det_jacobian(x, event_ndims=1)
          ),
      )
  
file_path: probability/tensorflow_probability/python/bijectors/inline_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the InlineBijectorTest obj's underlying member method code with example usage: obj.testBijector() without return types